adaptive-control

Small MATLAB/Simulink projects on adaptive control and on a few related estimation problems: a model-reference adaptive controller for an active suspension, the textbook MRAC example for a second-order plant, a harmonic-tracker (observer-based) analysis for grid signals, and a coupled PDE/ODE thermal simulation used as a control-oriented modelling exercise.

The projects are self-contained: each folder has an initialization script that fills the base workspace and, where present, a Simulink model to run afterwards. No external library is required, except that adaptive_control_active_suspension uses a small custom Simscape component (+suspension_single_mass), which is compiled locally with ssc_build.

Repository layout

Folder	Content
adaptive_control_active_suspension	MRAC of a single-mass active suspension (quarter-car style) with a speed-bump disturbance, a road-profile observer and a Kalman filter variant
adaptive_control_example_2_2	Model-reference adaptive control of a double integrator (mass), reference model with prescribed poles, plus a state observer
harmonics_tracker_analysis	Discrete-time design of resonant PI, SOGI, phase-shift filter, DDSRF-PLL and first-harmonic tracker (FHT) observers for 50 Hz / 400 Hz signals
pde_ode_ctrl	Explicit finite-difference simulation of a 1D heat-conduction bar (PDE) coupled with a lumped heater (ODE)

Each folder has its own README.

Conventions

• init_*.m / init_model.m scripts use clear all; close all; clc at the top, then define the plant, the reference model and the controller gains; run them before opening the .slx.
• Continuous-time designs are discretized explicitly in the scripts (forward Euler or expm), so that the same gains can be reused in fixed-step Simulink blocks.
• Figures in the plotting scripts use LaTeX labels and are exported with print -deps2.